2 citations · 3 across the 5 of their papers we have counts for
5 papers
Action Hallucination in Generative Vision-Language-Action Models
Harold Soh, Eugene Lim
Robot Foundation Models, such as VLAs, promise end-to-end generative robot policies with broad generalization. Yet it remains unclear whether they fundamentally resolve the core pr…
Stochastic Bandits for Egalitarian Assignment
Eugene Lim, Vincent Y. F. Tan, Harold Soh
We study EgalMAB, an egalitarian assignment problem in the context of stochastic multi-armed bandits. In EgalMAB, an agent is tasked with assigning a set of users to arms. At each…
Don't Start from Scratch: Behavioral Refinement via Interpolant-based Policy Diffusion
Kaiqi Chen, Eugene Lim, Kelvin Lin +2
Imitation learning empowers artificial agents to mimic behavior by learning from demonstrations. Recently, diffusion models, which have the ability to model high-dimensional and mu…
Observed Adversaries in Deep Reinforcement Learning
Eugene Lim, Harold Soh
In this work, we point out the problem of observed adversaries for deep policies. Specifically, recent work has shown that deep reinforcement learning is susceptible to adversarial…
Extended Tactile Perception: Vibration Sensing through Tools and Grasped Objects
Tasbolat Taunyazov, Luar Shui Song, Eugene Lim +4
Humans display the remarkable ability to sense the world through tools and other held objects. For example, we are able to pinpoint impact locations on a held rod and tell apart di…